About Clark

Every audit answers one question: can I trust this? For 150 years, people have answered it by hand. Clark is changing that.

We build AI that doesn’t just assist auditors. It does the audit work itself. More than 35 CPA firms already use Clark to run audit fieldwork faster and at equal or better quality. Audit is where we start. Our mission is to build the trust infrastructure layer for the AI economy, and we’re only getting started.

We’re a small, hard-working team backed by top investors. We take ownership and judge ourselves by results. If you want to change how an entire profession works, you’ll fit in here.

The Role

We are hiring Senior Engineers to grow the Ava team and build the AI systems that power Clark's core product.

You will design and ship production AI systems that automate complex audit and accounting workflows. This includes LLM-powered agents, retrieval systems, document intelligence, evaluations, validation, and the infrastructure required to make AI reliable in high-trust environments.

You will work closely with product engineers, Audit Engineers, customers, and company leadership to identify high-value workflows and build systems that can perform them accurately, securely, and at scale.

Why This Role Matters

Clark's ability to win and retain customers depends on the depth, reliability, and quality of Ava.

As customers ask Clark to automate more complex workflows, the Ava team must build AI systems that are both impressive in demos and reliable in production.

This role directly expands what the business can sell, deploy, and support.

What You'll Do

Build and improve LLM-powered workflows within Ava

Design agentic systems for audit and accounting workflows

Improve retrieval, reasoning, evaluation, and reliability of AI outputs

Partner with Audit Engineers to understand real customer workflows

Create evaluations, monitoring, guardrails, and human-in-the-loop review systems

Build production systems that can operate in trust-sensitive environments

Improve prompt, tool-use, orchestration, and evaluation systems

Improve the accuracy, reliability, latency, and cost of production AI workflows

Collaborate with platform engineers on reliability and observability

Debug AI failure modes and improve system performance over time

Ship product features that directly impact customer adoption

Debug failures in live customer workflows and improve system performance over time

Help establish Clark’s technical standards for building safe and dependable AI systems

Who You Are

2-5 years of software engineering experience

Experience building production software systems

Strong backend or full-stack engineering fundamentals

Hands-on experience building applications with LLMs, agents, retrieval systems, or other modern AI models

Experience designing evaluations and improving AI-system performance using real production data

Comfortable working with probabilistic systems and designing around uncertainty and failure

Strong product judgment and an ability to identify the simplest system that delivers meaningful customer value

Comfortable working directly with domain experts and translating complex workflows into software

High ownership, strong communication, and excellent technical judgment

Excited to operate in person with a fast-moving, talent-dense team

Bonus

Experience building production LLM applications

Experience with agent frameworks, evals, retrieval systems, or tool-calling

Experience in fintech, compliance, accounting, audit, legaltech, or other trust-sensitive software

Experience with document-heavy workflows

Experience at a fast-moving startup

The Environment

5 days a week on-site in NYC — no remote or hybrid

Startup hours and pace — this isn't a 9-to-5

Flat structure, no hierarchy — everyone ships

High ownership — you own outcomes, not just tasks

Benefits

Unlimited PTO

Wellhub Platinum membership

Comprehensive health, dental, and vision coverage

Free company dinner every day